Clinical validation and application value exploration of multi-modal pulmonary nodule diagnosis model

Clinical validation and application value exploration of multi-modal pulmonary nodule diagnosis model

Objective·To verify the performance and explore the clinical application value of a multi-modal pulmonary nodule diagnosis model combined with metabolic fingerprints, protein biomarker CEA and Image-AI via random forest (MPI-RF). Methods·This study enrolled 289 patients with pulmonary nodules who we...

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Bibliographic Details
Main Authors: XU Wanxing, WANG Lin, GUO Qiaomei, WANG Xueqing, LOU Jiatao
Format: Article
Language:zho
Published: Editorial Office of Journal of Shanghai Jiao Tong University (Medical Science) 2024-08-01
Series:Shanghai Jiaotong Daxue xuebao. Yixue ban
Subjects:
machine learning
lung adenocarcinoma
metabolomics
multi-modal model
pulmonary nodule
Online Access:https://xuebao.shsmu.edu.cn/article/2024/1674-8115/1674-8115-2024-44-8-1030.shtml
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